Simulate: Generate a certain number of temporal observation from the...
In holaanna/contactsimulator: Contact model simulator

Description Usage Arguments Details Value

Temporal oservation using the contact type model.

Simulate(param, grid_lines, pop_grid, grid_size = 5000,
  age_level = c(1, 1), age_dist = c(1, 0), m_start = 1,
  t_max = 118, t_intervention = 365, EI_model = 1, kern_model = 4,
  times, obs, nsim)

`param`	Indicating a data frame containing a vector of parameters including: epsion The primary infection rate. See `func_time_beta` beta_0 Baseline or average transmission rate. See `func_time_beta` beta_1 Amplitude of the seasonality. See `func_time_beta` alpha1,alpha2 The dispersal kernel parameters. mu_lat,var_lat mean and variance of the latent period. See `E_to_I` for details. t0 Time at which the primary source became active . omega Period of the forcing. See `func_time_beta` gama The mean proportion of short range dispersal events. .
`pop_grid`	Population density of the grid a case resides. This is filled from bottom to top, then left to right.
`grid_size`	Grid resolution //@inheritParams circle_line_intersections
`age_level`	Vectors of age level and the propportion of each age group respectively. See details.
`age_dist`	Vectors of age level and the propportion of each age group respectively. See details.
`m_start`	The size of initial cases. Default is 1.
`t_max`	Final observation time.
`t_intervention`	Start of the intervention if any.
`EI_model`	Take integer values to specify the type of model used for the latent period. See `E_to_I`
`kern_model`	Take integer values to specify the type of dispersal kernel used. See `Samp_dis`
`obs`	The obervation requiered from during the period time
`nsim`	The total size of the simulation requierd.
`time`	The sequence of time at which the observation will occure.